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End User Development

Overview of attention for book
End User Development
Springer Netherlands

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 End-User Development: An Emerging Paradigm
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    Chapter 2 Psychological Issues in End-User Programming
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    Chapter 3 More Natural Programming Languages and Environments
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    Chapter 4 What Makes End-User Development Tick? 13 Design Guidelines
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    Chapter 5 An Integrated Software Engineering Approach for End-User Programmers
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    Chapter 6 Component-Based Approaches to Tailorable Systems
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    Chapter 7 Natural Development of Nomadic Interfaces Based on Conceptual Descriptions
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    Chapter 8 End User Development of Web Applications
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    Chapter 9 End-User Development: The Software Shaping Workshop Approach
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    Chapter 10 Participatory Programming: Developing Programmable Bioinformatics Tools for End-Users
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    Chapter 11 Challenges for End-User Development in Intelligent Environments
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    Chapter 12 Fuzzy Rewriting
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    Chapter 13 Breaking It Up: An Industrial Case Study of Component-Based Tailorable Software Design
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    Chapter 14 End-User Development as Adaptive Maintenance
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    Chapter 15 Supporting Collaborative Tailoring
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    Chapter 16 EUD as Integration of Components Off-The-Shelf: The Role of Software Professionals Knowledge Artifacts
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    Chapter 17 Organizational View of End-User Development
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    Chapter 18 A Semiotic Framing for End-User Development
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    Chapter 19 Meta-design: A Framework for the Future of End-User Development
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    Chapter 20 Feasibility Studies for Programming in Natural Language
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    Chapter 21 Future Perspectives in End-User Development
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)

Mentioned by

twitter
3 X users
syllabi
1 institution with syllabi
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
275 Dimensions

Readers on

mendeley
11 Mendeley
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Title
End User Development
Published by
Human–Computer Interaction Series, January 2006
DOI 10.1007/1-4020-5386-x
ISBNs
978-1-4020-5386-3, 978-1-4020-4220-1
Editors

Lieberman, Henry, Wulf, Volker, Paternò, Fabio

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Master 2 18%
Student > Doctoral Student 2 18%
Professor 1 9%
Unknown 1 9%
Readers by discipline Count As %
Computer Science 5 45%
Arts and Humanities 1 9%
Psychology 1 9%
Social Sciences 1 9%
Design 1 9%
Other 0 0%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 January 2022.
All research outputs
#5,622,089
of 25,992,468 outputs
Outputs from Human–Computer Interaction Series
#1
of 1 outputs
Outputs of similar age
#22,300
of 175,836 outputs
Outputs of similar age from Human–Computer Interaction Series
#1
of 1 outputs
Altmetric has tracked 25,992,468 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one scored the same or higher as 0 of them.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 175,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them